rasa NLU
rasa NLU

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Wit
Wit

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rasa NLU vs Wit: What are the differences?

What is rasa NLU? Open source, drop-in replacement for NLP tools like wit.ai. rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

rasa NLU and Wit can be primarily classified as "NLP / Sentiment Analysis" tools.

Some of the features offered by rasa NLU are:

  • open source
  • python
  • NLP

On the other hand, Wit provides the following key features:

  • Voice-enabled Android and iOS apps
  • Rasberry Pi based home automation commanded by speech
  • Google Glass apps accepting voice commands

rasa NLU is an open source tool with 5.6K GitHub stars and 1.66K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.

- No public GitHub repository available -

What is rasa NLU?

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

What is Wit?

Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

Want advice about which of these to choose?Ask the StackShare community!

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What are some alternatives to rasa NLU and Wit?
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
MonkeyLearn
Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
AYLIEN
At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does.
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